Sr. Data Scientist

Working closely with data scientists to put their development into production. This means parallelizing, optimizing, tuning, testing, and wrapping their code that exists as a proof of concept into something that can be deployed.

  • Model Ops
  • Automated deployment, and monitoring
  • Analytics software development
  • Building production level ML/AI solutions, with solid software engineering and ML/AI principles
  • Build tools to enable fast, reproducible, and organized experimentation by model developers
  • Actively reaches out to the other teams (MAAP/MLE CoE) to be up-to-date regarding changes, developments and new possibilities.

With the following results (SMART)

  • Code optimized for production
  • Model and data pipelines production ready
  • Legacy and newly built models running in production

Relevant knowledge, skills, competences & desired education level

  • At least Master Degree in AI / Machine Learning / Software Engineering / Computer Science
  • Can build an “end-to-end software product” which has machine learning component
  • Strong Python and SQL skills
  • A minimum of 5 years experience in building ML pipelines and models
  • Experience in implementing production ready ML models using current ML techniques
  • Experience with Big data technologies like PySpark
  • Experience writing RESTful web services
  • Experience with industry-accepted testing tools and frameworks
  • Experience with DevOps technology (such as Docker, Kubernetes)
  • Experience with enterprise source code management (such as GitHub)
  • Experience with CI/CD for Machine Learning pipelines

Sr. Data Scientist

  • 40 uur p/w